DiscoverBeyond CodingWhy Your AI Experiments Won't Scale
Why Your AI Experiments Won't Scale

Why Your AI Experiments Won't Scale

Update: 2025-10-01
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Description

What if the biggest obstacles to AI innovation aren't what you think? Deeploy CEO Maarten Stolk shares his controversial but effective strategies for building successful AI products and ecosystems, challenging the common wisdom around bottom-up initiatives and regulation.


In this episode, we cover:


Why bottom-up initiatives fail without strong top-down vision.

The surprising benefits of the EU's AI Act for innovation.

How to build a thriving AI ecosystem from the ground up.

The single most important metric for AI observability.

This conversation is for tech leaders, founders, and engineers who want to move beyond AI experiments and build real-world, production-ready systems.


Timestamps:

00:00:00 - Intro

00:00:45 - Why Maarten Started a Dutch AI Hub

00:02:15 - The "Flywheel" Effect Crucial for AI Success

00:04:42 - The Hard Truth: Why the Netherlands is Lagging in AI

00:07:52 - A Controversial Take: The EU AI Act is Actually Good for Everyone

00:11:26 - The Real Bottleneck to Innovation Isn't Regulation

00:14:25 - From POC to Production: Why Top-Down Vision is Non-Negotiable

00:17:13 - A Wake-Up Call for Inexperienced Leadership Teams

00:20:30 - How Winning Companies Use AI to Dominate Their Market

00:23:44 - The Right Way to Learn From Your Competitors

00:27:30 - Maarten Outsourced Core Development to an AI Company

00:31:59 - The #1 Metric You Must Track for AI Observability

00:36:03 - Open-Source vs. Closed-Source: Which AI Model Will Win?

00:40:23 - The Inevitable Crisis That Will Force Innovation

00:42:19 - The Power of Having a Long-Term Personal Vision


#AIStrategy #TechLeadership #Innovation


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Why Your AI Experiments Won't Scale

Why Your AI Experiments Won't Scale

Patrick Akil